基于雷达点迹处理的抗RGPO干扰的机动目标跟踪

针对距离波门拖引(Range Gate Pull Off,RGPO)干扰下机动目标跟踪性能恶化的问题，提出一种基于雷达点迹处理的机动目标跟踪算法。该算法首先使用RGPO干扰鉴别技术将跟踪波门内的雷达点迹数据分为正常点迹集与RGPO干扰点迹集，针对不同的点迹集采取了不同的状态更新策略，最后融合两类状态信息后输出目标位置。仿真结果表明，该算法的跟踪精度明显优于传统的交互多模型－概率数据关联(Interacting Multiple Model Probabilistic Data Association,IMM-PDA)算法及现有抗RGPO干扰机动目标跟踪算法。

Maneuvering target tracking with anti-RGPO jamming ability based on radar plot processing

To solve the problem that the maneuvering target tracking performance deteriorates under the range gate pull off(RGPO) jamming,a method for the maneuvering target tracking with anti-RGPO jamming ability based on radar plot processing is proposed.Firstly,by carrying out the jamming identification technology,the radar plot data falling into the tracking gate is divided into two sets,the norm plots set and the RGPO jamming plots set.Then,different status update strategies are adopted based on the above different sets.Finally,the target position is given by fusing two types of status information.Simulation results show that the tracking accuracy of the proposed algorithm is obviously better than those of the traditional Interacting Multiple Model Probabilistic Data Association(IMM-PDA) algorithm and the existing maneuvering target tracking algorithms against RGPO jamming.